Basic Statistics

Raw Counts

Name Value
Rows 249
Columns 177
Discrete columns 176
Continuous columns 1
All missing columns 0
Missing observations 4,036
Complete Rows 17
Total observations 44,073
Memory allocation 1004.4 Kb

Percentages

Data Structure

Missing Data Profile

Univariate Distribution

Histogram

Bar Chart (with frequency)

## 15 columns ignored with more than 50 categories.
## Start.time: 249 categories
## Completion.time: 249 categories
## Which.of.the.following.best.describes.your.role.or.involvement.with.IPBES...Please.select.the.one.or.more.that.best.apply..: 77 categories
## Please.indicate.your.institutional.affiliation.or.organization.name.: 225 categories
## Q.1.2..Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular..suggest.potential.improvements.of.the.effectiveness.of.the.Plenary.sessions.: 118 categories
## Q.1.4..Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular..suggest.potential.improvements.of.the.effectiveness.of.the.preparatory.process.: 95 categories
## Q.2.2.Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular..suggest.potential.improvements.: 96 categories
## Q.2.3..Are.there.any.lessons.from.past.assessments.that.could.be.reflected.upon.to.improve.the.production.process.of.future.assessments.: 83 categories
## Q.3.2.Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular..suggest.potential.improvements.: 81 categories
## Q.4.2.Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular..suggest.potential.improvements.: 78 categories
## Q.5.2.Would.you.like.to.provide.additional.comments.to.support.your.assessment.above..In.particular.suggest.potential.improvements.: 70 categories
## Q.6.2.Would.you.like.to.provide.additional.comments.on.policy.alignment.and.impact.: 62 categories
## Q.7.2.Would.you.like.to.provide.additional.comments.to.support.your.above.assessment...Please.identify.specific.products.that.you.have.found.particularly.useful.: 71 categories
## Q.8.2.Would.you.like.to.provide.additional.comments.to.support.your.above.assessment..or.add.any.other.aspect.: 61 categories
## Q.9.1.Would.you.like.to.provide.additional.comments.on.potential.future.threats.that.may.impact.IPBES..effectiveness..and.how.IPBES.might.anticipate.and.mitigate.them.: 106 categories

QQ Plot

Correlation Analysis

## Warning in cor(x = structure(list(Id = c(21, 25, 26, 42, 58, 67, 70, 88, : La desviación estándar es cero

Principal Component Analysis

## Warning in plot_prcomp(data = structure(list(Id = c(21, 25, 26, 42, 58, : The following features are dropped due to zero variance:
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